Papers › YOLACT: Real-time Instance Segmentation

YOLACT: Real-time Instance Segmentation

4 Apr 2019ICCV 2019 10arXiv:1904.02689archive 2025-07-28

Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee

We present a simple, fully-convolutional model for real-time instance segmentation that achieves 29.8 mAP on MS COCO at 33.5 fps evaluated on a single Titan Xp, which is significantly faster than any previous competitive approach. Moreover, we obtain this result after training on only one GPU. We accomplish this by breaking instance segmentation into two parallel subtasks: (1) generating a set of prototype masks and (2) predicting per-instance mask coefficients. Then we produce instance masks by linearly combining the prototypes with the mask coefficients. We find that because this process doesn't depend on repooling, this approach produces very high-quality masks and exhibits temporal stability for free. Furthermore, we analyze the emergent behavior of our prototypes and show they learn to localize instances on their own in a translation variant manner, despite being fully-convolutional. Finally, we also propose Fast NMS, a drop-in 12 ms faster replacement for standard NMS that only has a marginal performance penalty.

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Syntology Ran 14 of 21 code samples harvested from 5 repositories linked to this paper; 7 have no recorded run. Of those that ran: 2 ran · honoured contract; 1 ran · violated contract; 3 ran · our draft was wrong; 2 ran · fixture could not drive it; 6 ran with no contract checked.

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48 repositories listed; official and paper-mentioned ones first.

dbolya/yolact officialmentioned in papermentioned on GitHubpytorchMIT report
BigThreeMI/Utils mentioned on GitHubtf report
DataXujing/yolact_pytorch mentioned on GitHubpytorchMIT report
DivaniMandi/myCustomDataset_yolact mentioned on GitHubpytorch report
Jittor/InstanceSegmentation-jittor mentioned on GitHubpytorch report
KHKHG/yolact mentioned on GitHubpytorchMIT report
KevinJia1212/yolact_cityscapes_550 mentioned on GitHubpytorchMIT report
Ma-Dan/Yolact-CoreML mentioned on GitHubpytorch report
NSCL/yolact_instance mentioned on GitHubpytorchMIT report
SharifElfouly/easy-model-zoo mentioned on GitHubpytorchMIT report
SpaceView/Yolact_EfficientNet mentioned on GitHubpytorchMIT report
Yahya1547/FaceMask mentioned on GitHubpytorchMIT report
YeshengSu/Yolact mentioned on GitHubpytorchMIT report
adityarc19/yolact-plus mentioned on GitHubpytorch report
anshkumar/yolact mentioned on GitHubtf report
artneer/yolact mentioned on GitHubpytorchMIT report
banayoyo/yoolact mentioned on GitHubpytorchMIT report
bihanli/yolactBH mentioned on GitHubpytorchMIT report
divyachandana/yolact mentioned on GitHubpytorchMIT report
eddy4112/Yolact mentioned on GitHubpytorchMIT report
feiyuhuahuo/Yolact_minimal mentioned on GitHubpytorch report
hakillha/yolact_yx mentioned on GitHubpytorchMIT report
hampen2929/yolact mentioned on GitHubpytorchMIT report
hololee/YOLACT mentioned on GitHubpytorch report
hyunahOh/instance_segmentation mentioned on GitHubpytorchMIT report
hz-ants/yolact mentioned on GitHubpytorchMIT report
jiajunhua/dbolya-yolact mentioned on GitHubpytorchMIT report
kaylode/Clothes-Segmentation mentioned on GitHubpytorchMIT report
kaylode/Trash-Segmentation mentioned on GitHubpytorchMIT report
lasithaya/yolact mentioned on GitHubpytorchMIT report
leenajyotishi/objectdetectionstuff mentioned on GitHubpytorchMIT report
leohsuofnthu/Tensorflow-YOLACT mentioned on GitHubtf report
lucasfporto/yolactTest mentioned on GitHubpytorchnot reachable when probed 2026-09-17 — repositories for recent papers often appear after camera-ready report
skritik098/new_yolact mentioned on GitHubpytorchMIT report
skritik098/new_yolact_2 mentioned on GitHubpytorchMIT report
songjmcn/yolact mentioned on GitHubpytorchMIT report
stuartchen1949/yolact-paddle mentioned on GitHubpaddle report
youngwanLEE/CenterMask mentioned on GitHubpytorchNOASSERTION report
zhaozhongch/yolact_ros mentioned on GitHubpytorchMIT report
zhawhjw/yolact-interpret mentioned on GitHubpytorchMIT report
zhhchen4njit/yolact mentioned on GitHubpytorchMIT report
zzuxzt/yolact_cpu mentioned on GitHubpytorchMIT report
open-mmlab/mmdetection pytorchApache-2.0 report

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21 samples harvested; 14 ran; 2 honoured the contract we drafted; 7 have no recorded run. Read from Syntology's graph 2026-09-25; that is when this build read the record, not when the samples ran.

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center_size artneer/yolact/layers/box_utils.py community (archive-listed) ran fingerprinted MIT (permissive) · aa2475e010a1be13 · report
clip_box Abhijeet8901/Instance-Segmentation-using-YOLACT/utils/augmentations.py community (archive-listed) ran · fixture could not drive it fingerprinted no licence file found · pointer only · 7282c58e759e3dbe · report
detect_collate Abhijeet8901/Instance-Segmentation-using-YOLACT/coco.py community (archive-listed) ran · our draft was wrong no licence file found · pointer only · e70dc564949b6618 · report
intersect NSCL/yolact_instance/utils/augmentations.py community (archive-listed) ran fingerprinted MIT (permissive) · 6ec11ee890696819 · report
intersect NSCL/yolact_instance/layers/box_utils.py community (archive-listed) ran MIT (permissive) · 3e474dde8eaf6a0d · report
intersect artneer/yolact/layers/box_utils.py community (archive-listed) ran fingerprinted MIT (permissive) · 958c2e3043ae1fcd · report
jaccard_numpy NSCL/yolact_instance/utils/augmentations.py community (archive-listed) ran fingerprinted MIT (permissive) · 13675bf1f3f88001 · report
min banayoyo/yoolact/utils/cython_nms.py community (archive-listed) ran fingerprinted MIT (permissive) · 2a5d0ff87f11c8d1 · report
point_form artneer/yolact/layers/box_utils.py community (archive-listed) ran · our draft was wrong fingerprinted MIT (permissive) · 3bea1addc1e14162 · report
random_mirror Abhijeet8901/Instance-Segmentation-using-YOLACT/utils/augmentations.py community (archive-listed) ran · fixture could not drive it fingerprinted no licence file found · pointer only · 8d9436bf9882a717 · report
remove_small_box Abhijeet8901/Instance-Segmentation-using-YOLACT/utils/augmentations.py community (archive-listed) ran · honoured contract fingerprinted no licence file found · pointer only · eb86a8a082a54cfe · report
str2bool hakillha/yolact_yx/yolact_eval.py community (archive-listed) ran · violated contract MIT (permissive) · f017532fc389cbfe · report
train_collate Abhijeet8901/Instance-Segmentation-using-YOLACT/coco.py community (archive-listed) ran · honoured contract no licence file found · pointer only · 1fc4ea983899e431 · report
val_collate Abhijeet8901/Instance-Segmentation-using-YOLACT/coco.py community (archive-listed) ran · our draft was wrong no licence file found · pointer only · b91f2cd5320db36f · report
center_size NSCL/yolact_instance/layers/box_utils.py community (archive-listed) unverified MIT (permissive) · 0118ac3b2ad5818b · report
construct_backbone NSCL/yolact_instance/backbone.py community (archive-listed) unverified MIT (permissive) · 87523070b15ff05c · report
darknetconvlayer NSCL/yolact_instance/backbone.py community (archive-listed) unverified MIT (permissive) · 901e174e8a74774c · report
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Tasks

Instance SegmentationReal-time Instance SegmentationSegmentationSemantic SegmentationTranslation

1 archive task tag without a task page not shown.

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Instance Segmentation COCO minival YOLACT-550 (ResNet-50) mask AP 29.9 #92 of 93 Archive leaderboard report
Instance Segmentation COCO test-dev YOLACT (ResNet-50-FPN) mask AP 29.8% #104 of 112 Archive leaderboard report
Real-time Instance Segmentation MSCOCO YOLACT-550 (ResNet-101-FPN) AP50 46.6 #20 of 22 Archive leaderboard report
Real-time Instance Segmentation MSCOCO YOLACT-550 (ResNet-101-FPN) AP75 29.2 #20 of 22 Archive leaderboard report
Real-time Instance Segmentation MSCOCO YOLACT-550 (ResNet-101-FPN) APL 44.8 #20 of 22 Archive leaderboard report
Real-time Instance Segmentation MSCOCO YOLACT-550 (ResNet-101-FPN) APM 29.3 #20 of 22 Archive leaderboard report
Real-time Instance Segmentation MSCOCO YOLACT-550 (ResNet-101-FPN) APS 9.2 #20 of 22 Archive leaderboard report
Real-time Instance Segmentation MSCOCO YOLACT-550 (ResNet-101-FPN) Frame (fps) 33.3 (Titan Xp) #20 of 22 Archive leaderboard report
Real-time Instance Segmentation MSCOCO YOLACT-550 (ResNet-101-FPN) mask AP 28.2 #20 of 22 Archive leaderboard report
Real-time Instance Segmentation MSCOCO YOLACT AP50 42.0 #21 of 22 Archive leaderboard report
Real-time Instance Segmentation MSCOCO YOLACT AP75 25.4 #21 of 22 Archive leaderboard report
Real-time Instance Segmentation MSCOCO YOLACT APL 45.0 #21 of 22 Archive leaderboard report
Real-time Instance Segmentation MSCOCO YOLACT APM 25.3 #21 of 22 Archive leaderboard report
Real-time Instance Segmentation MSCOCO YOLACT APS 5.0 #21 of 22 Archive leaderboard report
Real-time Instance Segmentation MSCOCO YOLACT Frame (fps) 45.3 (Titan Xp) #21 of 22 Archive leaderboard report
Real-time Instance Segmentation MSCOCO YOLACT mask AP 24.9 #21 of 22 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

1x1 ConvolutionAverage PoolingBatch NormalizationBottleneck Residual BlockConvolutionGlobal Average PoolingKaiming InitializationMax PoolingReLUResidual BlockResidual Connection

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